This readme.txt file was generated on <YYYYMMDD> by <Name>


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GENERAL INFORMATION
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1. Title of Dataset 
Planning plantations: Past learning, toward triple wins in carbon, biodiversity and livelihoods 

2. Author Information

  Principal Investigator Contact Information
        Name: Rajesh Thadani
           Institution: Centre for Ecology Developoment and Research
           Address:201/Phase 1, Vasant Vihar, Dehradun, Uttarakhand 248006
           Email:thadani_rajesh@hotmail.com		   
	   ORCID:0000-0001-5713-8367

  Associate or Co-investigator Contact Information
        Name: Vishal Singh
           Institution: Centre for Ecology Developoment and Research           Address:201/Phase 1, Vasant Vihar, Dehradun, Uttarakhand 248006           Email:vishal@cedarhimalaya.org
	   ORCID:0000-0001-6023-7075

  Associate or Co-investigator Contact Information
           Name: Anvita Pandey
           Institution: Centre for Ecology Developoment and Research           Address:201/Phase 1, Vasant Vihar, Dehradun, Uttarakhand 248006           Email:anvita@cedarhimalaya.org
	   ORCID:0000-0001-5539-7883
		Associate or Co-investigator Contact Information	   Name: Manish Kumar	   Institution: Centre for Ecology Developoment and Research	   Address:201/Phase 1, Vasant Vihar, Dehradun, Uttarakhand 248006	   Email:manish@cedarhimalaya.org	   ORCID:0000-0002-6780-9336 
3. Date of data collection (single date, range, approximate date) <suggested format YYYYMMDD>20200929 - 20210111


4. Geographic location of data collection (where was data collected?): The data was collected empirically from 25 selected forest plantations located in the Kangra District of Himachal Pradesh, India


5. Information about funding sources that supported the collection of the data:
PEER Cycle 8 Grant #: 25



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SHARING/ACCESS INFORMATION
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1. Licenses/restrictions placed on the data:CC0 1.0 Universal (CC0 1.0): Public Domain Dedication 


2. Links to publications that cite or use the data:Publication under writing


3. Links to other publicly accessible locations of the data:NA


4. Links/relationships to ancillary data sets:NA


5. Was data derived from another source? NO
           If yes, list source(s):


6. Recommended citation for the data: 



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DATA & FILE OVERVIEW
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1. File List
   A. Filename:        peer_cedar_large_plots_results_repository_plantation_id.csv
      Short description:        Summarised Tree carbon, biomass, density, height, and diversity data for 25 selected forest plantations in Kangra districts


        
   B. Filename:        peer_cedar_large_plots_raw_data.csv
      Short description:     Raw vegetation data for 3748 individual trees in 42 plots of size 50mX30m spread across 25 selected forest plantations in Kangra districts


        
   C. Filename:        
      Short description:


2. Relationship between files:   The values in File A are partly derived from the analysis of data present in File B     




3. Additional related data collected that was not included in the current data package:




4. Are there multiple versions of the dataset? No
   If yes, list versions:
           Name of file that was updated:
                     i. Why was the file updated? 
                ii. When was the file updated?
           Name of file that was updated:
                      i. Why was the file updated?
                    ii. When was the file updated?


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METHODOLOGICAL INFORMATION
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1. Description of methods used for collection/generation of data: 
vegetation surveys were conducted in the project areas with a 23 % sampling effort covering 25 out of the 109 plantations. The 25 plantations covered 5 major forest in the study region. In each plantation, up to three large rectangular plots were laid of size 50mX30m to measure information on trees. The choice of large plot size was to faciliate scaling of results from plot to landscape-level using remote-sensing data. Tree diameter at breast height (DBH of trees above 10 cm) and tree height was recorded for each tree individual using a diameter tape and visual assessment, respectively. If a tree showed multiple stems below 1.3 m height, the individual stems were marked as A, B, C etc. in the datasheet and diameter was recorded. All species were identified with the help of regional flora. Within each large plot, five smaller subplots of 3mX3m size were laid at the four corners and at the centre for observing saplings, shrubs, leaf litter, and ground cover. In each sub-plot, soil samples were collected using soil augurs and soil core extracter at 10 cm incremental depth reaching up to 30 cm total depth, wherever site conditions permitted. 


2. Methods for processing the data: <describe how the submitted data were generated from the raw or collected data>The vegetation data from each plot was screened for quality-assurance and any abnormal values were marked as NA (Not Available).Each individual tree was given a unique tree id (Tree_Id) and multi-stems were marked as A, B, C, etc. The tree diameter for multi-stem individualswas estimated as the square-root of sum of squares of diameters of individual stems. The basal area of an individual tree was computed from tree diameter information.In the case of multi-stems, basal area was aggregated for each tree, whereas height was averaged. The data was aggregeted for all the plots and analysed at plantation_id level. 


3. Instrument- or software-specific information needed to interpret the data:NA


4. Standards and calibration information, if appropriate:NA


5. Environmental/experimental conditions:The sampled forest plantations ranged from 780m - 2000 m in elevation. The forest types varied from sub-tropical Acacia to borad-leaved temperate Oak forests.


6. Describe any quality-assurance procedures performed on the data:NA


7. People involved with sample collection, processing, analysis and/or submission:Vijay Guleria and the field team in Palampur, Laraib Ahmed & Sweksha Gupta at CEDAR.






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DATA-SPECIFIC INFORMATION FOR: [peer_cedar_large_plots_results_repository_plantation_id.csv]
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<create sections for each dataset included>


1. Number of variables:18 variables


2. Number of cases/rows: 25 rows each representing a plantation




3. Missing data codes:
        NA        Not Available
        Code/symbol        Definition


4. Variable List

    A. Name: Plantation_Id
       Description: Numerical value representing a plantation mapped under another project on tree plantations in Himachal Pradesh (https://doi.org/10.13020/8x0d-gb23)
    B. Name: Date_Of_Survey               
       Description: Date of data collection for each plantation in YYYY-MM-DD format
	C. Name: Village_Panchayat                      Description: Name of the Village panchayat managing the forest plantation sampled.	D. Name: Latitude                      Description: Latitude of a plot lying within a plantation. Unit is in degree decimal.	E. Name: Longitude                      Description: Longitude of a plot lying within a plantation. Unit is in degree decimal.	F. Name: Aspect                                             Description: The azimuthal aspect of a plot in a sampled plantation given in degrees in reference to north (0 deg).	G. Name: Elevation                                             Description: The elevation of a plot in a sampled plantation given in meters above sea level (masl) units.	H. Name: Forest_Type                                                               Description: The forest type of the plantation based on species composition.	I. Name: Mean_Tree_Height                                                          Description: Average height of all trees sampled in the plantation. Unit in m.	J. Name: Mean_Tree_Density_ha                                             Description: Average number of trees per hectare (ha) sampled in the plantations. Unit in number of trees ha-1.	K. Name: Mean_Basal_Area_ha                                                        Description: Average basal area of all trees per hectare (ha) sampled in the plantations. Unit in m2 ha-1.	L. Name: Mean_Total_Biomass_ha                                                     Description: Average total tree biomass per hectare (ha) from of all trees sampled in the plantations. Unit in Mt ha-1.	M. Name: Mean_Total_Carbon_ha                                                      Description: Average total tree carbon per hectare (ha) from of all trees sampled in the plantations. Unit in Mt ha-1.	N. Name: Fraction_Of_Disturbed_Trees_%                                             Description: The fraction of trees with observed signs of disturbance among the total trees sampled in a plantation. Unit in %.	O. Name: Species_Richness                                                          Description: The number of species observed in a plantation.	P. Name: Shannon-Weiner_Index                                             Description: Shannon-Weiner Index is a measure of diversity. Higher value denotes higher diversity.	Q. Name: Simpson's_Index                                             Description: Simpson's Index is a measure of diversity. The values range from 0-1, 1 being highest diversity.-----------------------------------------DATA-SPECIFIC INFORMATION FOR: [peer_cedar_large_plots_raw_data.csv]-----------------------------------------1. Number of variables:11 variables2. Number of cases/rows: 3748 rows each representing a tree3. Missing data codes:        NA        Not Available        Code/symbol        Definition4. Variable List	A. Name: Forest_Type                                                               Description: The forest type of the plantation based on species composition.    B. Name: Plantation_Id       Description: Numerical value representing a plantation mapped under another project on tree plantations in Himachal Pradesh (https://doi.org/10.13020/8x0d-gb23)    C. Name: Plot_Id                      Description: Unique numerical value representing a 50mX30m large plot. 	D. Name: Tree_Id                      Description: Unique numerical value representing a sampled tree. 	E. Name: Species_Name                      Description: Scientific name of an individual tree sampled in a plantation following binomial nomenclature (Genus species).	F. Name: DBH_m                      Description: Diameter of an individual tree sampled. Unit is in meters (m).	G. Name: Basal_Area                                                        Description: Basal area of individual trees sampled in the plantations. Unit is in sq-meters (m2).	H. Name: No_Of_Multi-stems                                             Description: The number of stems present in a sampled tree splitting below 1.3 m height. 	   	I. Name: Tree_Height                                                          Description: Height of a sampled tree. Unit is in m.	J. Name: Disturbance_category                                             Description: Categorical observations of signs of disturbance present in sampled tree. The categories are: 	   "Healthy" = No signs of any kind of damage	   "Lopping" = Signs of twigs and branches lopped from the tree	   "Fire" = Signs of fire like blackening of bark	   "Lopping_Fire" = Signs of fire and lopping (both described above) observed on same individual	   "Coppice" = Signs of thickened trunk at base signifying stem removal in past,	   "Resin extraction" = Signs of resin extraction (especially in Chir-pine) like characteristic bark removal.	K. Name: Total_Tree_Biomass_kg                                                     Description: The total tree biomass of a sampled tree. Unit is in kg.-----------------------------------------DATA-SPECIFIC INFORMATION FOR: [peer_species_biomass_eq.csv]-----------------------------------------1. Number of variables:05 variables2. Number of cases/rows: 115 rows each representing a biomass equation. The equations are derived from various studies with bulk of them derived from the previous work by the CEDAR team (Dr. Rajesh Thadani, Dr. Vishal Singh & Dr. Anvita Pandey).https://doi.org/10.1111/1440-1703.12078, https://doi.org/10.1080/10549811.2014.8995003. Missing data codes:        NA        Not Available        Code/symbol        Definition4. Variable List	A. Name: species                                                               Description: The species on which the equation is applicable.    B. Name: tree.part       Description: The part of the tree on which the equation is applicable. The common categories represent equations for:	   "Bole" = The main trunk of a tree.	   "Branch" = All the branches in a tree.	   "Twig" = All the distal end of a branch holding leaves.	   "Foliage" = All the leaves on a tree.	   "Stump root" = The primary root system of a tree extending vertically down.	   "Lateral root" = The secondary root system of a tree extending in horizontal directions.	   "Fine root" = All the small roots extending from the stump and lateral roots.	   "Total" = For the whole tree	   "Coarse root" = Combining Stump root and lateral roots	   "New branch" = All the younger apical branches	   "Older branch" = All the older lower branches	   "Total  foliage" = All the leaves on a tree.	   "Stem" = Combining Bole and branches    C. Name: intercept                      Description: Intercept (c) of the linear equation to estimate biomass in the formula biomass (in kg) = exp(slope(m)*log(DBH(in cm)) + intercept(c))  (https://doi.org/10.1111/1440-1703.12078)	D. Name: slope                      Description: Slope (m) of the linear equation to estimate biomass in the formula biomass (in kg) = exp(slope(m)*log(DBH(in cm)) + intercept(c))   (https://doi.org/10.1111/1440-1703.12078)	E. Name: R2                      Description: The r-square parameter reported for the linear equation to estimate biomass in the formula biomass (in kg) = exp(slope(m)*log(DBH(in cm)) + intercept(c))   (https://doi.org/10.1111/1440-1703.12078)	